Search engine, search system, search method, and search program product

Abstract

A search system can include a server, a token assignment unit for assigning types of tokens based on different kinds of character string analysis methods, an index generating unit for generating an index list that associates the tokens assigned with the token assignment unit, a type identification value for identifying a type of the character string analysis, and information, a search unit that receives a search word for referencing the information to combine types of search tokens generated from the search word to generate a single search command for parallel inquiry of the information to search for the information, and a search result generating unit for displaying information extracted in relation to the search word through parallel inquiry with the search unit and search tokens so as to identify the tokens.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of Japanese Patent Application No. 2008-46582 filed 27 Feb. 2008, entitled “SEARCH ENGINE, SEARCH SYSTEM, SEARCH METHOD, AND SEARCH PROGRAM PRODUCT”, which is assigned to the assignee of the present application, and the teachings of which are hereby incorporated by reference in their entirety.BACKGROUND[0002]The present invention relates to an information search technique, and more specifically, it relates to a search technique that executes multiple character string analyses in parallel.[0003]Along with recent developments in high-speed large-capacity communication infrastructures, such as those related to computers and the Internet, an enormous amount of information is generated and registered in an accessible form through a network. In response thereto, recently, there is an increasing demand for a search system that allows a user who accesses the information through the network and searches for targ...

AI Technical Summary

Benefits of technology

[0028]The thus-assigned scores reflect the degree to which the targeted information includes tokens generated with the morphological analysis method and the N-gram method. As a result, a search result of an embodiment of the present invention is more faithful to a character string in targeted information or a search word (string) in a text portion. Regarding a drawback of the morphological analysis method, that is, a problem that some tokens cannot be hit due to insufficient maintenance of a dictionary, the drawback can be canceled with an advantage of the N-gram method. Further, a drawback

Problems solved by technology

Further, as for the morphological analysis method, in the case of processing a language involving notational variations, a lot of time and effort should be expended for maintenance of a dictionary to handle variations such as the conjugation of a word, declensional kana ending, humble expressio

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